| --- |
| language: |
| - dv |
| base_model: alakxender/w2v-bert-2.0-dhivehi-cv |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_17_0 |
| metrics: |
| - wer |
| model-index: |
| - name: w2v Bert 2.0 Dv |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 17.0 |
| type: mozilla-foundation/common_voice_17_0 |
| config: dv |
| split: test |
| args: 'config: dv, split: test' |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.45908364040881594 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # w2v Bert 2.0 Dv - alakxender |
|
|
| This model is a fine-tuned version of [alakxender/w2v-bert-2.0-dhivehi-cv](https://huggingface.co/alakxender/w2v-bert-2.0-dhivehi-cv) on the Common Voice 17.0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3580 |
| - Wer: 0.4591 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:------:| |
| | 1.9272 | 3.8961 | 300 | 0.3712 | 0.5096 | |
| | 0.1846 | 7.7922 | 600 | 0.3580 | 0.4591 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.41.0.dev0 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.0 |
| - Tokenizers 0.19.1 |
|
|
